Human Generated Data

Title

Untitled (large group portrait of people of various ages posing outdoors)
Date

c. 1947
People

Artist: Orrion Barger, American active 1913 - 1984
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6676

Human Generated Data

Title

Untitled (large group portrait of people of various ages posing outdoors)

People

Artist: Orrion Barger, American active 1913 - 1984

Date

c. 1947

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6676

Machine Generated Data

Tags

Amazon
created on 2019-03-26

Person 99.8
Human 99.8
Clothing 99.1
Apparel 99.1
Person 99.1
Person 98.9
Person 98.6
Shorts 98.5
Person 98.5
Person 98.3
Person 97.6
Person 97.5
Person 97.3
Person 96.7
Person 95.8
Person 95
Person 94.7
Person 94
Person 93.9
Outdoors 93.7
Person 92.7
Person 92.4
Plant 91.9
Grass 91.9
Person 91.4
Dress 91.1
Person 90.7
Yard 89.8
Nature 89.8
Play 88.5
Person 88.4
Countryside 87.9
Shelter 87.9
Building 87.9
Rural 87.9
Person 86
Meal 85.9
Food 85.9
Face 85.4
Person 83.9
Vegetation 83
Tree 82.7
Female 82.4
Kid 80
Child 80
People 78.7
Person 75.9
Vacation 67.9
Girl 66.3
Crowd 65.4
Photo 62.7
Photography 62.7
Leisure Activities 62
Picnic 61.7
Lawn 60.7
Park 60.7
Pants 59.8
Poster 59.6
Collage 59.6
Advertisement 59.6
Field 57.4
Urban 56.3
Woman 56.1

Clarifai
created on 2019-03-26

people 99.9
child 99.8
group 99.4
group together 98.2
many 96.8
boy 96.4
wear 95
adult 94.1
several 91.2
man 90.1
son 90
recreation 90
woman 89.8
sepia 87.8
five 86.7
education 86.3
facial expression 86
family 82.7
offspring 82
sit 81.8

Imagga
created on 2019-03-26

kin 68.8
musical instrument 28.4
people 25.6
accordion 21.6
man 21.6
child 20.6
male 18.5
silhouette 17.4
keyboard instrument 17.3
wind instrument 17.1
person 16.4
group 16.1
old 16
grunge 14.5
portrait 14.2
adult 13.9
couple 13.9
together 12.3
girls 11.8
aged 11.8
dirty 11.7
boy 10.4
love 10.2
black 10.2
sunset 9.9
retro 9.8
outdoors 9.7
ancient 9.5
play 9.5
men 9.4
happy 9.4
holiday 9.3
vintage 9.1
world 8.9
family 8.9
room 8.8
friends 8.4
friendship 8.4
life 8.1
kid 8
women 7.9
business 7.9
happiness 7.8
sport 7.8
scene 7.8
antique 7.8
summer 7.7
decoration 7.7
youth 7.7
outdoor 7.6
art 7.6
human 7.5
holding 7.4
tradition 7.4
teen 7.3
graphic 7.3
to 7.1
businessman 7.1
sky 7

Google
created on 2019-03-26

Photograph 96.6
People 93.1
Black-and-white 88.5
Snapshot 86.7
Monochrome 79.4
Child 77.6
Photography 76.4
Monochrome photography 76.2
Stock photography 75.8
Adaptation 74.1
Room 65.7
Family 57.7
Play 57.3
Style 52.5
Art 50.2

Microsoft
created on 2019-03-26

person 93
posing 39.4
child 39.4
black and white 38
outdoor 27
boy 13.6
nature 10.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 45-63
Gender Female, 50.8%
Happy 45.8%
Disgusted 46.1%
Angry 45.7%
Surprised 45.7%
Sad 45.6%
Calm 50.9%
Confused 45.3%

AWS Rekognition

Age 26-43
Gender Female, 54.1%
Angry 45.2%
Happy 45.2%
Surprised 45%
Disgusted 45%
Confused 45%
Calm 45%
Sad 54.6%

AWS Rekognition

Age 27-44
Gender Female, 51.3%
Happy 50.2%
Disgusted 45.5%
Angry 45.5%
Surprised 45.6%
Sad 47.3%
Calm 45.6%
Confused 45.4%

AWS Rekognition

Age 26-44
Gender Male, 51.1%
Angry 45.5%
Sad 50.6%
Confused 45.4%
Surprised 45.4%
Calm 47.1%
Disgusted 45.5%
Happy 45.5%

AWS Rekognition

Age 14-25
Gender Female, 53.9%
Angry 45.8%
Sad 51%
Confused 45.5%
Surprised 45.5%
Calm 45.9%
Disgusted 45.6%
Happy 45.7%

AWS Rekognition

Age 48-68
Gender Female, 53.8%
Angry 45.6%
Calm 46.7%
Confused 45.3%
Happy 45.6%
Disgusted 49.3%
Sad 47.2%
Surprised 45.3%

AWS Rekognition

Age 12-22
Gender Female, 53.7%
Sad 54%
Angry 45.1%
Disgusted 45%
Calm 45.5%
Surprised 45.1%
Confused 45.1%
Happy 45.3%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Disgusted 45.1%
Angry 46%
Happy 45.4%
Confused 45.3%
Calm 48.2%
Sad 49.7%
Surprised 45.3%

AWS Rekognition

Age 30-47
Gender Female, 52.6%
Disgusted 45.1%
Angry 45.2%
Surprised 45.1%
Calm 46%
Happy 46.5%
Sad 52%
Confused 45.2%

AWS Rekognition

Age 12-22
Gender Female, 50.6%
Angry 45.5%
Happy 46%
Sad 51.2%
Calm 45.9%
Confused 45.2%
Disgusted 45.9%
Surprised 45.3%

AWS Rekognition

Age 29-45
Gender Male, 53%
Angry 45.4%
Confused 45.2%
Disgusted 45.1%
Sad 54%
Happy 45%
Calm 45.2%
Surprised 45.1%

AWS Rekognition

Age 35-52
Gender Male, 53.6%
Sad 48%
Happy 45.9%
Disgusted 45.2%
Calm 50.3%
Angry 45.3%
Confused 45.1%
Surprised 45.1%

AWS Rekognition

Age 35-53
Gender Female, 50.1%
Disgusted 46%
Calm 50.9%
Confused 45.3%
Sad 46.6%
Happy 45.4%
Surprised 45.4%
Angry 45.5%

AWS Rekognition

Age 26-43
Gender Female, 51.6%
Confused 45.1%
Surprised 45.1%
Angry 45.1%
Happy 45.2%
Sad 54.3%
Calm 45.2%
Disgusted 45%

AWS Rekognition

Age 26-43
Gender Female, 51.3%
Disgusted 45.1%
Surprised 45.1%
Angry 45.2%
Confused 45%
Sad 45.6%
Calm 53.9%
Happy 45.1%

AWS Rekognition

Age 26-43
Gender Female, 54%
Calm 45.2%
Happy 45%
Angry 45.1%
Disgusted 45%
Confused 45.1%
Sad 54.4%
Surprised 45.1%

Feature analysis

Amazon

Person 99.8%